OTIF: Hidden Ways to Actually improve it

Everyone talks about OTIF – On Time In Full – as if it’s a straightforward dashboard metric you can tweak by improving forecast accuracy, implementing a control tower, or beating up carriers to enhance timeliness.

But if you’ve actually tried to move the needle on OTIF, you know it’s rarely that simple. It’s not just about trucks departing on time, production running on schedule, and inventory being available.

There are other, less obvious OTIF killers hiding in the grey areas of planning, scheduling, deployment, and decision-making delays. Let’s shed some light on them

What is OTIF? Causes of Issues are Deeply Hidden

OTIF is one of those metrics that seems straightforward: Did you deliver what the customer ordered, when they expected it – in full, and on time? But behind that simple question is a complex web of operations – inventory availability, order management accuracy, planning decisions, warehouse load balancing, and transportation coordination.

OTIF – On Time In Full:

OTIF measures whether a customer’s order is delivered on time and complete. If it’s late or incomplete, it’s considered a failure. It shows how well the supply chain aligns planning, inventory, warehousing, and transportation to meet customer expectations.

See Walmart’s definition and how it measures and fines poor performance

OTIF penalty: Fine or promoting good business practices?:

While many would argue that OTIF fines are simply another way for retailers to generate revenue, there is a legitimate reason for enforcing compliance. Consider Walmart – a significant portion of its purchases are cross-docked, meaning there is no safety stock between the store and the supplier. Failure to deliver on time increases the chances of shelves being empty, resulting in lost sales.

Even inventory stored in Walmart’s 100+ warehouses needs to move efficiently. With over $1 billion in sales each day, an extra day of inventory ties up a substantial amount of capital.

Additionally, Walmart’s warehouses have limited capacity for unloading, cross-docking, and storing materials. Products arriving early may have to wait in the trailer drop lot for their designated unloading slot. Being late could result in losing a valuable unloading slot.

It’s Easy: “Just Keep Everything in Stock”

The root causes of poor OTIF run deep. Unfortunately, the things that seem easiest in theory – like simply keeping everything in stock – are usually the most elusive in practice; there simply isn’t enough warehouse space or money to buy the inventory and deal with obsolescence.

Additionally:

Adding more stock might boost OTIF, but it can also choke cash flow and make CFOs anxious. The key is precision: having exactly enough inventory, in the right places, at the right times – not just more of it.

That’s where things like Advanced Planning and Scheduling (APS) come into play. And not always in a good way.

APS: Brilliant Logic in a Vacuum

APS – Advanced Planning and Scheduling software hasn’t evolved much over the past 30+ years. Their main focus is on maintaining inventory, safety stock, and cycle stock in the right place at the right time, with quantities to handle around 95% of historical forecast variation. Unfortunately, they lack an understanding of the network’s physical capabilities and often overlook downstream costs.

In short, APS software can be powerful, but only if its decisions are based on actual execution capability.

However, here’s the problem: APS systems operate in a silo, disconnected from real-world supply chain execution realities. They’re driven by elegant logic and algorithmic decision-making, but they often overlook the nuances of what’s actually economically and operationally feasible on the ground.

The supply planning system, part of the APS, might “decide” that a facility should receive 100 replenishment trucks at the same time as the site is in peak-end-of-the-month customer shipping mode. It doesn’t consider that the yard can’t handle that volume or that warehouse labor was already stretched thin fulfilling the more important customer orders.

Supply planning is painfully sensitive; if inventories fall even one case below safety stock, a replenishment is triggered, even when no other stock is needed. Supply planning can make decisions that directly conflict with capacity and operational constraints, causing bottlenecks that ripple all the way to the customer. That’s a recipe for delays, inventory mismatches (missed order fill), and potentially even delays – the grand slam of OTIF

LevelLoading: The Unsung OTIF Hero

Here’s a simple but underused tactic to improve OTIF: LevelLoading.

Think of LevelLoading as spreading peanut butter evenly instead of dumping it all in one corner of the bread. It’s about smoothing deployment across days, balancing labor and dock resources, and avoiding the trap of “peaks and valleys”. It’s about making sure that the most important and needed items are shipped on any day.

Now you’re probably saying, surely that happens every time. The reality is that while most supply planning systems prioritize requirements, these are seldom relayed to operations. And in their minds, everything is “critical.”

LevelLoading isn’t sexy, but it works. When you prioritize deployment strategically – based on site capacity and demand signals – you prevent system overload. If you’re using APS, you might need to manually override it to achieve this. Yes, manual adjustments are frowned upon in planning circles, but sometimes they’re the only way to inject practical judgment into the process

Delay Deployment-Truck Contents Definition: Flexibility Over Precision

Another often overlooked tactic is to postpone defining what goes on a replenishment truck until the last possible moment.

Carriers need days’ notice to position equipment. Many supply chains are hindered by locking in truck contents too early – before they even engage the carrier. They set the truck’s contents far in advance, which reduces flexibility and reserves inventory that might be needed elsewhere.

By delaying the “what goes on the truck decision”, you gain the flexibility to allocate inventory based on the latest planning data. Order fill rates improve.

OTIF Fixes: Don’t Live in the “Supply Chain” Department

Improving OTIF requires coordinating across functions, aligning metrics, and – this is crucial – sharing the true cause of misses, not just the symptoms.

Too many organizations neglect proper OTIF root cause analysis. They just shrug and move on. Or worse, they blame the warehouse. But OTIF problems are often a downstream signal of an upstream planning failure.

Technology Helps: But Only If It’s Grounded

There’s no shortage of tools claiming to “solve OTIF problems” through visibility, tracking, or predictive analytics. Some of them are helpful. Platforms like FourKites and Project44 effectively provide real-time data on shipments and ETA windows. That’s valuable – especially when you’re trying to prevent a late delivery before it happens.

But visibility is only part of the challenge:

The Hidden Levers: That Actually Improve OTIF

Let’s recap some of the not-so-obvious (but very real) tactics that can help lift OTIF:

1. LevelLoading Deployments: Balance inbound and outbound flows to prevent sites with conflicting tasks. Customer shipments will always take priority. Avoid pushing more volume into a site than it can handle. Manage throughput and space effectively.

2. Delay Truck Content Definition: Postpone the final inventory assignment to trucks to maintain flexibility and adapt to the latest data or changing priorities. In this way, DC inventory is better tailored to customer needs

3. Prioritize by Need: If there is limited downstream capacity (trucks, warehouse space, labor) use the highest priority items to consume the available capacity.

4. Override APS Logic When Necessary: APS software often lacks nuance. If it schedules a plan that doesn’t match operational capacity or common sense, don’t hesitate to intervene.

5. Cross-Functional OTIF Reviews: Get planning, warehousing, transportation, and customer service in the same room (literally or virtually) and do a no-BS post-mortem on misses.

6. Root Cause Tracking at the Order Level: Don’t settle for “late” or “short”. Understand why each OTIF miss happened and categorize it. Then fix the input, not just the output.

7. Invest in Supply Chain Visibility: But Link It to Action – Use real-time tracking, but build in logic that triggers decisions when decisions can impact the outcome – don’t just treat them as pretty dashboards.

8. Train the Organization to Think in “Service Impact” While Understanding “Cost”: Sometimes the cheapest alternative is the worst choice for OTIF. Service impact must weigh heavily in decision-making.

If you’re missing OTIF targets, it’s rarely because one team failed. It’s usually a sign that your supply chain isn’t well aligned.

APS software, production, deployment schedules, warehouse loads, and transportation timing all need to align. When they don’t, OTIF gets crushed. And no amount of dashboards or performance pressure can fix that unless the core issues are addressed.

If you’re truly committed to OTIF, stop asking how to measure it more effectively. Instead, ask where your planning process is clashing with your execution reality.

That’s where true progress starts.